Instructions to use nguoidoncui/Controlnet with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use nguoidoncui/Controlnet with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("nguoidoncui/Controlnet", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
Download FLUX.1-dev-ControlNet-Union-Pro.safetensors from nguoidoncui/Controlnet: direct link, hf CLI and curl.
- Browser
- Download file 6.6 GB
-
https://huggingface.co/nguoidoncui/Controlnet/resolve/main/FLUX.1-dev-ControlNet-Union-Pro.safetensors
- Command line
-
hf download hf://nguoidoncui/Controlnet/FLUX.1-dev-ControlNet-Union-Pro.safetensors
-
curl -L -o FLUX.1-dev-ControlNet-Union-Pro.safetensors https://huggingface.co/nguoidoncui/Controlnet/resolve/main/FLUX.1-dev-ControlNet-Union-Pro.safetensors
6.6 GB
- Xet hash:
- 9a5d18e09a1ddb57fd7a3b4769f4f418868e0d7bc9adf502a5ff60253d004e6d
- Size of remote file:
- 6.6 GB
- SHA256:
- 2cd23f9da9f2f24d75ded22c0c2596782312aa0b88e05076b4b8621a0b1fa9d1
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